neuroskill-bci

Real-time EEG focus tracking is achieved by connecting an AI assistant to NeuroSkill BCI measurements, which interprets cognitive states like focus, relaxation, and drowsiness from supported wearable devices. It requires a running local instance.

Interpreting biometric states from BCI hardware requires a running NeuroSkill instance, compatible EEG devices, local CLI or API access, and reference knowledge to safely analyze metrics like HRV, mood, and cognitive load.

Yes, you can compare neurofeedback sessions to find similar mental states and analyze trends by searching session history. This allows retrieval of labeled moments such as periods of deep focus for analysis.

Yes, real-time BCI monitoring supports sleep staging and drowsiness analysis by accessing derived physiological metrics from connected hardware. It provides cognitively aware suggestions and recovery actions based on measured states.

Adaptive wellness guidance is generated by applying measured BCI metrics to provide focus protection, recovery actions, and optional wellness protocols. The AI assistant adapts responses based on your real-time physiological state.

Limitations include the strict requirement for compatible BCI hardware, a running NeuroSkill instance, and local CLI or API access. Without these dependencies, the system cannot measure metrics or provide adaptive guidance.